Measuring Agentic AI ROI: Introducing The Triad ROI Framework
Agentic AI is redefining how enterprises measure success — not just in innovation, but in real financial returns. In this second step toward Agentic AI excellence, we introduce the Triad ROI Framework, a practical model for quantifying value across cost savings, revenue growth, and risk reduction. Learn how to assess impact over time, track the right metrics, and build the foundations for sustainable AI-driven performance.
Agentic AI: From Hidden Tool to Trusted Partner
Agentic AI is transforming the way we work, evolving from hidden tools in the shadows to trusted collaborators. In this blog, we explore the four stages of agentic AI, the key risks of data, hallucination, and context drift, and why human-in-the-loop governance is essential for building trust and maximising productivity.
How AI Became My Coding Assistant (And Why It Should Be Yours Too)
AI coding assistants are changing how developers work. In this blog, Ian Ng shares how Amazon Q Developer became a powerful coding partner, helping automate routine tasks so developers can focus on architecture, problem-solving, and building better solutions faster.
5 Traits of a Winning Data Strategy for Business Success
A winning data strategy combines strong governance, reliable quality, and scalable architecture to drive measurable outcomes. With AWS and Cevo’s Data Strategy Diagnostic, organisations can build the foundation for AI-driven innovation and long-term growth.
AWS Glue Studio Guide: No-Code PII Redaction in CSV Files
CSV files are simple, flexible, and everywhere but they’re also one of the easiest ways for sensitive customer data to leak. In this guide, we show you how to use AWS Glue Studio’s no-code, ML-powered transforms to automatically detect and redact PII in CSV files. With step-by-step instructions, you’ll learn how to protect data at ingestion, ensure compliance, and build pipelines that keep analytics both powerful and privacy-first.
AI Agent Evaluation Techniques: Step 1 in AI Excellence
Evaluating AI agents is the critical first step in achieving AI excellence. This blog explores modern frameworks and benchmarks that assess agents’ core capabilities, domain-specific performance, generalist reasoning, and evaluation methodologies, ensuring AI systems are reliable, adaptable, and ready to deliver real business value.
Data Strategy Diagnostic: Building a Robust Data Strategy on AWS
Data is everywhere but without a clear strategy, it can hold your business back instead of moving it forward. In this blog, we share how the AWS Data Strategy Diagnostic helps organisations assess their data maturity, uncover gaps, and build a practical roadmap to turn data into real business value.
Advanced Prompt Engineering for AWS
Advanced prompt engineering for AWS goes beyond basic prompts. By using techniques like chain-of-thought reasoning, few-shot learning, and iterative refinement, you can guide AI to deliver smarter, context-aware solutions that actually work within real-world project constraints. In this post, I share the methods I use on client projects to turn AI into a true consulting partner.
Unit testing JSONata in AWS Step Functions: Breaking Free from Step Function Testing Constraints
Unit testing JSONata in AWS Step Functions doesn’t have to be painful. By separating JSONata templates into their own files, introducing a simple template manager, and running fast local unit tests, you can validate transformations in milliseconds, without deploying to AWS. This framework makes debugging easier, feedback loops faster, and Step Functions more maintainable.
Prompt Engineering for AWS: Why I Started Having Real Conversations with AI
Prompt engineering for AWS has transformed the way I work in cloud consulting. By learning to give AI tools like Amazon Q and Amazon Bedrock the right context, constraints, and roles, I’ve gone from getting generic answers to receiving tailored, cost-saving solutions. In this post, I share the practical techniques that turn AI into a true partner for solving complex AWS challenges.